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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    INDEX
    Explanations

    mentions of the word 'radio'

    oai_token-act-pair · gpt-3.5-turbo

    references to radio

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.79
    SIZE
    -0.75
     Severus
    -0.75
    ardless
    -0.74
     Guan
    -0.72
     Sever
    -0.71
    portion
    -0.69
    uggle
    -0.69
     Cout
    -0.67
     advant
    -0.65
    POSITIVE LOGITS
     radio
    3.85
    radio
    2.89
     Radio
    2.81
     radios
    2.73
    Radio
    2.71
     television
    1.60
     broadcasting
    1.60
     broadcast
    1.42
     broadcaster
    1.42
     loudspe
    1.41
    Activations Density 0.021%

    No Known Activations